How We Help You Profit? Our big data analytic solutions, integrated marketing applications, and team of experts can help your company gain a sustainable competitive advantage with data. Behavioral Analytics The Foundation of Targeted Marketing Campaigns and Predictive Analytics Understanding what consumers do and how they act enables you to make the right offers to the right customer segments at the right time.
These techniques and tools provide unprecedented insights into data, enabling better decision making and forecasting, and ultimately the solution of increasingly complex problems. Data Mining Use Cases and Business Analytics Applications provides an in-depth introduction to the application of data mining and business analytics techniques and tools in scientific research, medicine, industry, commerce, and diverse other sectors.
It presents the most powerful and flexible open source software solutions: The software and their extensions can be freely downloaded at www.
Understand Each Stage of the Data Mining Process The book and software tools cover all relevant steps of the data mining process, from data loading, transformation, integration, aggregation, and visualization to automated feature selection, automated parameter and process optimization, and integration with other tools, such as R packages or your IT infrastructure via web services.
The book and software also extensively discuss the analysis of unstructured data, including text and image mining. These application-oriented chapters give you not only the necessary analytics to solve problems and tasks, but also reproducible, step-by-step descriptions of using RapidMiner and RapidAnalytics.
The case studies serve as blueprints for your own data mining applications, enabling you to effectively solve similar problems. Hofmann is a member of the Register of Expert Panellists of the Irish Higher Education and Training Awards council, an external examiner to two other third-level institutes, and a specialist in undergraduate and postgraduate course development.
Rapid-I is the company behind the open source software solution RapidMiner and its server version RapidAnalytics. Klinkenberg has more than 15 years of consulting and training experience in data mining and RapidMiner-based solutions.
Reviews In this book, case studies communicate how to analyze databases, text collections, and image data. The RapidMiner processes and datasets described in the case studies are published on the companion web page of this book. The inspiring applications may be used as a blueprint and a justification of future applications.
Katharina Morik, Technical University of Dortmund Hofmann and Klinkenberg have produced a fine collection of essays on data mining and analytic models, presented in several cross-disciplinary cases.
This book describes data mining and case applications using Rapidminer models and analytic techniques. The book represents the work of more than 30 contributors.
Managing the writing styles of so many contributors is a challenging task, and the editors are to be commended for their effort. The material flows well, is very readable, and easily transitions from chapter to chapter and section to section.
The book is divided into ten sections, each focusing on a different disciplinary area and a different analytic and mining model. Each section includes one or more cases.
This is a good book. If you are interested in some very interesting data mining cases, or if you would like to learn Rapidminer, it will not disappoint. The bibliographic references are lengthy and the indices are well done.Data Mining Case Studies papers have greater latitude in (a) range of topics - authors may touch upon areas such as optimization, operations research, inventory control, and so on, (b) page length - longer submissions are allowed, (c) scope - more complete context, problem and.
Case studies may focus on an individual, a group, or an entire community and may utilize a number of data technologies such as life stories, documents, oral histories, in . Case studies, hands-on data analysis experience, and a class project will introduce basic concepts of data analytics, sketch the lifecycle of a data analytics project, and connect analytics to business .
Data Mining in R – Learning with Case studies from kaja-net.com data mining tasks using R. Data Mining in R – Learning with Case studies from kaja-net.com data mining tasks using R.
Course on Computer Vision Using Deep Learning | Limited Period Offer at only Rs Business Analytics: Mode: Online Self Paced: Views. Data Analytics Solution to Optimize Transportation Equipment Utilization The Challenge A global mining company with more than a dozen mines on three continents faced financial hurdles caused by the delays in transporting ore, among other inefficiencies.
The phrase "business analytics" refers to the process of using data and analytical techniques to improve decision making in a business environment. It encompasses data management processes, such as data collection, validation, and organization, as well as analytical techniques, such as statistics, optimization, predictive modeling, forecasting.